An improved correlation to predict the heat transfer in pulsating heat pipes over increased range of fluid-filling ratios and operating inclinations

Kholi, Foster Kwame; Mucci, Alberto; Kallath, Hariharan; Ha, Man Yeong; Chetwynd-Chatwin, Jason; Min, June Kee

doi:10.1007/s12206-020-0537-1

Cited by 18 publications

(3 citation statements)

References 37 publications

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“…It was suggested that the deviation of the correlation was ±40%, comparing with the collected experimental data. Kholi et al [14] proposed another new heat transfer correlation. The influence of the filling ratio was separately considered by a polynomial.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Small-channel Pulsating Heat Pipe Based on Dimensional Analysis and ANN Model

Wang¹,

Wright²,

Liu³

et al. 2022

Energy Engineering

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The pulsating heat pipe is a very promising heat dissipation device to address the challenge of higher heat-flux electronic chips, as it is characterised by excellent heat transfer ability and flexibility for miniaturisation. To boost the application of PHP, reliable heat transfer performance evaluation models are especially important. In this paper, a heat transfer correlation was firstly proposed for closed PHP with various working fluids (water, ethanol, methanol, R123, acetone) based on collected experimental data. Dimensional analysis was used to group the parameters. It was shown that the average absolute deviation (AAD) and correlation coefficient (r) of the correlation were 40.67% and 0.7556, respectively. For 95% of the data, the prediction of thermal resistance and the temperature difference between evaporation and condensation section fell within 1.13 K/W and 40.76 K, respectively. Meanwhile, an artificial neural network model was also proposed. The ANN model showed a better prediction accuracy with a mean square error (MSE) and correlation coefficient (r) of 7.88e-7 and 0.9821, respectively.

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Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Small-channel Pulsating Heat Pipe Based on Dimensional Analysis and ANN Model

Wang¹,

Wright²,

Liu³

et al. 2022

Energy Engineering

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“…Most of the studies concerning PHPs are experimental ones and focused on the visualization of two-phase flow [5][6][7][8][9]. However, to get more insight into the phenomena occurring in a PHP, numerical modelling based on Computational Fluid Dynamics (CFD) is increasingly being used.…”

Section: Introductionmentioning

confidence: 99%

The Thermal—Flow Processes and Flow Pattern in a Pulsating Heat Pipe—Numerical Modelling and Experimental Validation

et al. 2021

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The aim of the article is to numerically model a two-dimensional multiphase flow based on the volume of fluid method (VOF) in a pulsating heat pipe (PHP). The current state of knowledge regarding the modeling of these devices was studied and summarised. The proposed model is developed within open source software, OpenFOAM, based on the predefined solver called interPhaseChangeFoam. The analyses were carried out in terms of the influence of four different mass transfer models between the phases, proposed by Tanasawa, Lee, Kafeel and Turan, and Xu et al. on the shape and dynamics of the internal flow structures. The numerical models were validated against data obtained from a specially designed experimental setup, consisting of three bends of pulsating heat pipes. The numerical calculations were carried out with ethanol being treated as a working medium and the initial and boundary conditions taken directly from the measurement procedures. The variable input parameter for the model was the heat flux implemented in the evaporation section and a fixed temperature applied to the condensation section. The flow structures obtained from the numerical analyses were compared and discussed with the flow structures gained from experimental studies by employing a high speed camera. In addition, to verify the quantitative results obtained from the numerical analyses with the experimental data, a technique called particle image velocimetry (PIV) was used for the velocity vector field. For the analysed velocity ranges, the relative error obtained was reached at the level of 10%.

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“…The correlation predicted the performance of the rotating PHP with various filling ratios, rotating speeds with a maximum error of 20%. Recently, Kholi et al 15 proposed another new heat transfer correlation based on similar concepts. It was reported that the correlation was successfully used for PHPs with various working fluids, inclination angles and filling ratios with ±30% accuracy.…”

Section: Introductionmentioning

confidence: 99%

Development of a novel artificial neural network model for closed pulsating heat pipe with water and aqueous solutions

Wang

Wright

Liu

et al. 2021

Asia-Pacific J Chem Eng

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Aqueous solutions are increasingly introduced as the working fluids of pulsating heat pipe (PHP), to balance and optimise certain thermo-physical properties of pure water. In this paper, a first attempt is conducted to predict the heat transfer performance of closed PHP with pure water and available aqueous solutions based on a fully connected feed-forward artificial neural network (ANN). The notable dimensionless numbers, Kutateladze number (Ku), Bond number (Bo), Morton number (Mo), Jackob number (Ja), Prandtl number (Pr), Laplace number (La), d/L e and number of turns (N) were selected as the inputs of the ANN model. It was found that the prediction of proposed ANN model posed a good agreement with experimental data with the MSE and correlation coefficient of 0.026 and 0.979, respectively. For 81.02% of the collected data, the absolute deviation of prediction for thermal resistance was within 25%. For 95% of collected data, the prediction of thermal resistance and temperature difference between the evaporation and condensation section fell within ±0.37 K/W, and ±17.1 K, respectively. The evaluation of evaporation and condensation section temperatures was also presented based on the proposed ANN model.

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An improved correlation to predict the heat transfer in pulsating heat pipes over increased range of fluid-filling ratios and operating inclinations

Cited by 18 publications

References 37 publications

Performance Evaluation of Small-channel Pulsating Heat Pipe Based on Dimensional Analysis and ANN Model

Performance Evaluation of Small-channel Pulsating Heat Pipe Based on Dimensional Analysis and ANN Model

The Thermal—Flow Processes and Flow Pattern in a Pulsating Heat Pipe—Numerical Modelling and Experimental Validation

Development of a novel artificial neural network model for closed pulsating heat pipe with water and aqueous solutions

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